Data Scientist Multi Level
Description
About FedEx Dataworks:
Born out of FedEx, a pioneer that ships nearly 20 million packages a day and manages endless threads of information, FedEx Dataworks is an organization rooted in connecting the physical and digital sides of our network to meet today's needs and address tomorrow's challenges.
We are creating opportunities for FedEx, our customers, and the world at large by:
· Exploring and harnessing data to define and solve true problems
· Removing barriers between data sets to create new avenues of insight
· Building and iterating on solutions that generate value
· Acting as a change agent to advance curiosity and performance
At FedEx Dataworks, we are making supply chains work smarter for everyone.
Summary:
The team is revolutionizing the last mile delivery journey for millions of customers. We leverage cutting-edge AI and data science to optimize every step of the recipient's experience. Your work will directly contribute to enhancing satisfaction, ensuring seamless deliveries, and shaping the future of logistics through intelligent, data-driven solutions. If you're passionate about using data science and AI to make a tangible impact, we want you!
Data Scientist I Summary:
Under full supervision, helps advance Dataworks’ broad capabilities to use and deploy cutting edge data science and machine learning tools and methods in Dataworks projects, platforms and products. Anchors current best practices by supporting the design and build of reusable data science assets. Simultaneously works to help keep Dataworks on the bleeding edge by researching and understanding the very latest and most sophisticated methods and tools for grappling with large scale and complex problems. Learns and helps apply descriptive, diagnostic, predictive, prescriptive and ensemble modeling, statistical techniques, and use of database tools and/or other approaches in quantitative analysis of complex business situations. Helps provide recommendations to issues through knowledge of data scientific methods and machine learning / data engineering practices. Works in tandem with data scientists in peer positions.
The Data Scientist I plays a pivotal role, focused on supporting data science innovation within Dataworks, helping to define and build the Dataworks organization, and supporting more senior data scientists in the delivery of key business initiatives. S/he acts as a “universal translator” between IT, business, software engineers and data engineers, collaborating with these multi-disciplinary teams. The Data Scientist I will contribute to the adherence of technical standards for data science and machine learning, including the design and construction of reusable data assets. S/he will learn to work with large data sets and solve difficult analytical problems, often applying advanced methods. S/he will support the creation and implementation of solutions from concept to production, using current and emerging technologies to evaluate trends and develop actionable insights and recommendations. Day-to-day, s/he will be involved in code development and the support of small-scale deployments. Understanding at a high-level both the business and technical problems Dataworks aims to solve Exploring data and crafting models to answer core business problems that may not have a common blueprint Supporting the invention of new approaches and algorithms for tackling data intensive problems Helping the team scale up from “laptop-scale” to “cluster scale” problems by contributing to efforts to standardize and industrialize solutions Delivering tangible value rapidly, collaborating with diverse teams of varying backgrounds and disciplines Interacting with peer technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvement Following best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Data Scientist II Summary: Under general supervision, advances Dataworks’ broad capabilities to use and deploy cutting edge data science and machine learning tools and methods in Dataworks projects, platforms and products. Anchors current best practices by supporting the design and build of reusable data science assets. Simultaneously works to keep Dataworks on the bleeding edge by understanding the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems. Applies descriptive, diagnostic, predictive, prescriptive and ensemble modeling, statistical techniques, and use of database tools and/or other approaches in quantitative analysis of complex business situations. Provides recommendations to moderately complex issues through knowledge of data scientific methods and machine learning / data engineering practices. Works in tandem with data scientists in peer positions The Data Scientist II plays a pivotal role, focused on delivering data science innovation within Dataworks, helping to define and build the Dataworks organization, and executing the delivery of key business initiatives. S/he acts as a “universal translator” between IT, business, software engineers and data engineers, collaborating with these multi-disciplinary teams. The Data Scientist II will contribute to the adherence of technical standards for data science and machine learning, including the design and construction of reusable data assets. S/he will work with large data sets and solve difficult analytical problems, applying advanced methods. S/he will execute the creation and implementation of solutions from concept to production, using current and emerging technologies to evaluate trends and develop actionable insights and recommendations. Day-to-day, s/he will be deeply involved in code development and medium-scale deployments.
Understanding in depth both the business and technical problems Dataworks aims to solve Exploring data and crafting models to answer core business problems that may not have a common blueprint Contributing to the invention of new approaches and algorithms for tackling data intensive problems Pioneering R&D efforts to rapidly understand and assimilate state of the art methods Scaling up from “laptop-scale” to “cluster scale” problems by contributing to efforts to standardize and industrialize solutions Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines Interacting with peer technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvement Following best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Data Scientist III Summary: Takes ownership over select data science initiatives. Advances Dataworks’ broad capabilities to use and deploy cutting edge data science and machine learning tools and methods in Dataworks projects, platforms and products. Anchors current best practices by driving the design and build of reusable data science assets. Simultaneously works to keep Dataworks on the bleeding edge by understanding the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems. Leads junior data scientists in modeling and development to support operations initiatives and strategic programs, through the use of descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and use of database tools and/or other approaches in mathematical analysis. Applies understanding of ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on complex problems. Provides guidance to less senior team members to drive results. Works with cross-functional teams. The Data Scientist III plays a pivotal role, focused on driving data science innovation within Dataworks, helping to define and build the Dataworks organization and leading the delivery of key business initiatives. S/he acts as a “universal translator” between IT, business, software engineers and data engineers, collaborating with these multi-disciplinary teams. The Data Scientist III will contribute to the adherence of technical standards for data science and machine learning, including the design and construction of reusable data assets. S/he will work with large datasets and solve difficult analytical problems, applying advanced methods. S/he will drive the creation and implementation of solutions from concept to production, using current and emerging technologies to evaluate trends and develop actionable insights and recommendations. Day-to-day, s/he will be deeply involved in code reviews and large-scale deployments. S/he will also provide mentorship and guidance to junior data scientists to support the continued training and up-skilling of the Data Science team.
Understanding in depth both the business and technical problems Dataworks aims to solve. Exploring data and crafting models to answer core business problems that may not have a common blueprint. Driving the invention of new approaches and algorithms for tackling data intensive problems. Pioneering R&D efforts to rapidly understand and assimilate state-of-the-art methods. Scaling up from “laptop-scale” to “cluster scale” problems by driving efforts to standardize and industrialize solutions. Delivering tangible value very rapidly, collaborating with diverse teams of varying disciplines and organizational backgrounds. Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvement. Championing best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Job responsibilities and skills/abilities etc.,
Knowledge, Skills and Abilities:
· Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science
· Experience or familiarity with designing and deploying large scale technical solutions, which deliver tangible, ongoing value
· Direct experience or familiarity with building and deploying production systems that implement modern, data scientific methods at scale
· Ability to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined
· Demonstrated ability to support technical projects within a team, often working under tight time constraints to deliver value
· An ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
· Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews Solid theoretical grounding in the mathematical core of the major ideas in data science
· Good understanding or familiarity with a class of modelling or analytical techniques, often supported by Masters-level research in the subject
· Familiarity with the mathematical ‘primitives’ and generalizations of data science – e.g., expertise in Linear Algebra, and Vector Calculus
· Use of agile and devops practices for project and software management including continuous integration and continuous delivery
· Strong knowledge in advanced data science and machine learning tools and methods, including the iterative development of analysis pipelines to provide insights at scale.
· Strong knowledge and experience in conducting end-to end analyses, including data gathering and requirements specification, processing, analysis, and presentations.
· Experience as a member of multi-functional project teams. Strong oral and written communication skills.
· General knowledge or familiarity with some of the following common languages and tools:
· SKLearn,
· XGBoost,
· Tensorflow,
· Pytorch,
· MLlib and other core machine learning frameworks
· Python,
· Scala,
· Java and other modern programming languages
· MLFlow,
· Databricks,
· Spark,
· Kafka and other data tools and frameworks
· CPLEX, Gurobi and other similar optimization modeling packages.
Preferred Skills:
1. Building and managing data pipelines: You'll be skilled in setting up and maintaining automated processes (like ETL) to get data from different sources into a usable format, using tools like Airflow.
2. Optimizing data for analysis: You'll know how to store and access data efficiently in various databases (SQL) and data warehouses (like Snowflake or BigQuery) so it's ready for model building.
3. Ensuring data quality: You'll be able to create systems that check, clean, and track data to make sure it's reliable and accurate for machine learning models.
Minimum qualifications:
Data Scientist I Minimum Qualifications: Minimum Education: Bachelor's Degree in computer science, operations research, statistics, applied mathematics or related quantitative discipline. A related advanced degree may offset the related experience requirements.
Minimum Experience: One-year equivalent experience in computer science, operations research, statistics, applied mathematics or related quantitative discipline. A related advanced degree may offset the related experience requirements.
Data Scientist II Minimum Qualifications:
Minimum Education: Master’s degree (or equivalent) in Computer Science, Operations Research, Statistics, Applied Mathematics, or a related quantitative field.
Minimum Experience: At least two (2) years of professional experience applying data science (e.g., machine learning, artificial intelligence, statistical analysis), operations research (e.g., optimization, algorithms,
mathematical modeling), and data analytics to reduce costs, enhance profitability, and improve customer experience. An advanced degree in a related field may be considered in lieu of some experience.
Data Scientist III Minimum Qualifications:
Minimum Education: Master’s Degree (or equivalent) in Computer Science, Operations Research, Statistics, Applied Mathematics or related quantitative discipline. Directly related PhD preferred.
Minimum Experience: At least three-four (3-4) years of professional experience applying data science (e.g., machine learning, artificial intelligence, statistical analysis), operations research (e.g., optimization, algorithms, mathematical modeling), and data analytics to reduce costs, enhance profitability, and improve customer experience. An advanced degree in a related field may be considered in lieu of some experience.
Pay Transparency: This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the salary information represents the job level minimum and the job level maximum. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors permitted by law. An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.
Pay: DS1 Range: $67,520 to $101,280/ DS2 Range: $82,240 to $123,360/ DS3 Range: $111,680 to $167,520
Additional Details: Application Criteria: Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 5 PM EST on 7/15/25..
Domicile Information:
This position can be domiciled anywhere in the United States. The ability to work remotely within the United States may be available based on business need.
Application Criteria:
Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by
7/15/2025.
FedEx Dataworks is an Equal Opportunity Employer including, Vets/Disability.
Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact DataworksTalentAcquisition@corp.ds.fedex.com.
